experiments/STT-tensorflow
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

Fix Keras documentation

Browse Source
This commit is contained in:
Lutz Roeder 2020-06-14 23:02:59 -07:00
parent d5435d42c5
commit eaf10e9a27
2 changed files with 11 additions and 6 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

8
tensorflow/python/keras/layers/core.py
View File

@ -825,10 +825,14 @@ class Lambda(Layer):
returned as output mask regardless of what the input is.
arguments: Optional dictionary of keyword arguments to be passed to the
function.
Input shape: Arbitrary. Use the keyword argument input_shape (tuple of
Input shape:
Arbitrary. Use the keyword argument input_shape (tuple of
integers, does not include the samples axis) when using this layer as the
first layer in a model.
Output shape: Specified by `output_shape` argument
Output shape:
Specified by `output_shape` argument
"""
@trackable.no_automatic_dependency_tracking

9
tensorflow/python/keras/layers/wrappers.py
View File

@ -341,10 +341,11 @@ class Bidirectional(Wrapper):
combined. One of {'sum', 'mul', 'concat', 'ave', None}. If None, the
outputs will not be combined, they will be returned as a list. Default
value is 'concat'.
backward_layer: Optional `keras.layers.RNN`, or keras.layers.Layer` instance
to be used to handle backwards input processing. If `backward_layer` is
not provided, the layer instance passed as the `layer` argument will be
used to generate the backward layer automatically.
backward_layer: Optional `keras.layers.RNN`, or `keras.layers.Layer`
instance to be used to handle backwards input processing.
If `backward_layer` is not provided, the layer instance passed as the
`layer` argument will be used to generate the backward layer
automatically.
Note that the provided `backward_layer` layer should have properties
matching those of the `layer` argument, in particular it should have the
same values for `stateful`, `return_states`, `return_sequence`, etc.